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Epoch 153/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0640 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.0996 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 154/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0659 - sparse_categorical_accuracy: 0.9785 - val_loss: 0.0980 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 155/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0666 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.1490 - val_sparse_categorical_accuracy: 0.9501 |
Epoch 156/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0659 - sparse_categorical_accuracy: 0.9774 - val_loss: 0.1010 - val_sparse_categorical_accuracy: 0.9570 |
Epoch 157/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0650 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1040 - val_sparse_categorical_accuracy: 0.9570 |
Epoch 158/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0626 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0965 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 159/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0645 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.1010 - val_sparse_categorical_accuracy: 0.9570 |
Epoch 160/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0691 - sparse_categorical_accuracy: 0.9774 - val_loss: 0.0987 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 161/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0615 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0936 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 162/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.0625 - sparse_categorical_accuracy: 0.9792 - val_loss: 0.1129 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 163/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0601 - sparse_categorical_accuracy: 0.9802 - val_loss: 0.0989 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 164/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0624 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.1512 - val_sparse_categorical_accuracy: 0.9515 |
Epoch 165/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0641 - sparse_categorical_accuracy: 0.9778 - val_loss: 0.0986 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 166/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0558 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0979 - val_sparse_categorical_accuracy: 0.9598 |
Epoch 167/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0607 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.1085 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 168/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0585 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.0976 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 169/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0599 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.1078 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 170/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0608 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.0951 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 171/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0612 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.1004 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 172/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0622 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0949 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 173/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0622 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0923 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 174/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0600 - sparse_categorical_accuracy: 0.9802 - val_loss: 0.1019 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 175/500 |
90/90 [==============================] - 0s 6ms/step - loss: 0.0591 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.1238 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 176/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0588 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.0917 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 177/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0598 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.1138 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 178/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0566 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0938 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 179/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0634 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.0966 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 180/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0579 - sparse_categorical_accuracy: 0.9830 - val_loss: 0.1033 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 181/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0601 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0937 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 182/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0545 - sparse_categorical_accuracy: 0.9847 - val_loss: 0.0979 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 183/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0569 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0987 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 184/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0569 - sparse_categorical_accuracy: 0.9854 - val_loss: 0.0907 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 185/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0579 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0918 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 186/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0571 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0933 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 187/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0577 - sparse_categorical_accuracy: 0.9826 - val_loss: 0.0933 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 188/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0634 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.1014 - val_sparse_categorical_accuracy: 0.9667 |
Epoch 189/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0582 - sparse_categorical_accuracy: 0.9837 - val_loss: 0.0906 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 190/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0571 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0931 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 191/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0602 - sparse_categorical_accuracy: 0.9812 - val_loss: 0.0903 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 192/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0581 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.0915 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 193/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0574 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.0914 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 194/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0530 - sparse_categorical_accuracy: 0.9868 - val_loss: 0.0941 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 195/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0557 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0925 - val_sparse_categorical_accuracy: 0.9653 |
Epoch 196/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0576 - sparse_categorical_accuracy: 0.9819 - val_loss: 0.1018 - val_sparse_categorical_accuracy: 0.9639 |
Epoch 197/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0562 - sparse_categorical_accuracy: 0.9823 - val_loss: 0.1003 - val_sparse_categorical_accuracy: 0.9626 |
Epoch 198/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0582 - sparse_categorical_accuracy: 0.9806 - val_loss: 0.0917 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 199/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0602 - sparse_categorical_accuracy: 0.9809 - val_loss: 0.1001 - val_sparse_categorical_accuracy: 0.9667 |
Epoch 200/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0580 - sparse_categorical_accuracy: 0.9816 - val_loss: 0.0927 - val_sparse_categorical_accuracy: 0.9584 |
Epoch 201/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0573 - sparse_categorical_accuracy: 0.9833 - val_loss: 0.1226 - val_sparse_categorical_accuracy: 0.9612 |
Epoch 202/500 |
90/90 [==============================] - 1s 6ms/step - loss: 0.0581 - sparse_categorical_accuracy: 0.9840 - val_loss: 0.0941 - val_sparse_categorical_accuracy: 0.9612 |
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